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Perspectives in Biometrics
1st Edition - January 1, 1975
Editor: Robert M. Elashoff
eBook ISBN:
9 7 8 - 1 - 4 8 3 2 - 7 2 2 5 - 2
Perspectives in Biometrics is a collection of articles that deals with the state of active and important research area in the field of biometrics, as well as the methodological… Read more
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Perspectives in Biometrics is a collection of articles that deals with the state of active and important research area in the field of biometrics, as well as the methodological aspects of particular biometrical data analyses. The book reviews the statistical analysis of a large data base by using interactive computing and data analysis facilities as shown in the Albany Heart Study. One paper presents a survey of adaptive sampling techniques used in clinical trials, while another discusses computer-aided prognosis that can be useful in predicting the survival rate after the diagnosis and treatment of a serious disease. Another paper explains the use and interpretation of multivariate methods used in classifying the different stages encountered in infectious diseases of the critically ill. For example, the data bank in the Clinical Research Center—Acute is analyzed for a set of measurements that are then inputted in a computer base for later retrieval. The book also discusses "nonparametric estimation" that concerns estimates of distribution densities and cumulatives, as well as the use of "percentile points" to obtain decision rules in parametrization problems. The text can prove valuable for statisticians, students, and professors of calculus and advanced mathematics.
List of Contributors
Preface
1. Interactive Statistical Computation with Large Data Structures
I. Introduction
II. The Data and the Computing Facilities
III. The Example
IV. Summary of Further Analyses
V. Comments on Interactive Data Analysis Systems
References
2. A Survey of Adaptive Sampling for Clinical Trials
I. Introduction
II. The Finite Patient Horizon Model
III. The Unknown Patient Horizon
IV. Ranking and Selection Models
V. Inverse Stopping
VI. Likelihood Stopping Rules
VII. Delayed Observations
VIII. Conclusions
Appendix
References
3. Computer-Aided Prognosis
I. Introduction
II. Description of the Data
III. Density Estimation Methods
IV. Regression Estimation Methods
V. Results for Density Estimation Methods
VI. Results for the Regression Estimation Methods
References
4. The Use and Interpretation of Multivariate Methods in the Classification of Stages in Serious Infectious Disease Processes in the Critically
I. Introduction and Background of the Medical Problem and Data Description
II. An Approach to the Development of a Physiologic State Point of View
III. A Description of the Clustering Process
IV. The Concatenation of Multivariate Methods
V. Longitudinal Aspects of the Analysis—The Time Dimension—Can it Be Recovered?
VI. Conclusions
References
5. Approximate Tests and Confidence Intervals Using the Jackknife
I. Introduction
II. Approximate Tests and Confidence Intervals
III. Some Possible Extensions
References
6. Estimation Procedures for Simulation Applications
I. Statement and Outline of the Problem
II. Basic Structure
III. Interpretation of Parameters
IV. General Aspects of Estimation
V. Applications to Biomedical Problems
VI. Generalizations
Appendix. Consideration of Systematic Scale Estimators under the Assumption of Symmetry
References
Index
- No. of pages: 212
- Language: English
- Published: January 1, 1975
- Imprint: Academic Press
- eBook ISBN: 9781483272252